Overview

Dataset statistics

Number of variables28
Number of observations159491
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.3 MiB
Average record size in memory258.5 B

Variable types

Numeric26
Categorical2

Alerts

Group has a high cardinality: 1197 distinct valuesHigh cardinality
Per2 is highly overall correlated with Normalised_FNTHigh correlation
Dem1 is highly overall correlated with TargetHigh correlation
Dem4 is highly overall correlated with TargetHigh correlation
Dem5 is highly overall correlated with TargetHigh correlation
Dem8 is highly overall correlated with Dem9High correlation
Dem9 is highly overall correlated with Dem8High correlation
Normalised_FNT is highly overall correlated with Per2High correlation
Target is highly overall correlated with Dem1 and 2 other fieldsHigh correlation
Target is highly imbalanced (98.2%)Imbalance
id is uniformly distributedUniform
id has unique valuesUnique

Reproduction

Analysis started2023-09-22 03:07:51.063455
Analysis finished2023-09-22 03:10:54.251036
Duration3 minutes and 3.19 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct159491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142468.44
Minimum0
Maximum284805
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.4 MiB
2023-09-22T03:10:54.405774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14237.5
Q171266.5
median142495
Q3213507.5
95-th percentile270645.5
Maximum284805
Range284805
Interquartile range (IQR)142241

Descriptive statistics

Standard deviation82191.005
Coefficient of variation (CV)0.57690677
Kurtosis-1.1981859
Mean142468.44
Median Absolute Deviation (MAD)71112
Skewness-0.00012986961
Sum2.2722433 × 1010
Variance6.7553613 × 109
MonotonicityNot monotonic
2023-09-22T03:10:54.649225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64508 1
 
< 0.1%
157429 1
 
< 0.1%
44057 1
 
< 0.1%
148762 1
 
< 0.1%
251853 1
 
< 0.1%
276305 1
 
< 0.1%
7814 1
 
< 0.1%
46230 1
 
< 0.1%
193263 1
 
< 0.1%
144371 1
 
< 0.1%
Other values (159481) 159481
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
284805 1
< 0.1%
284804 1
< 0.1%
284803 1
< 0.1%
284802 1
< 0.1%
284801 1
< 0.1%
284800 1
< 0.1%
284798 1
< 0.1%
284797 1
< 0.1%
284794 1
< 0.1%
284793 1
< 0.1%

Group
Categorical

Distinct1197
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.4 MiB
Grp42
 
1029
Grp184
 
997
Grp137
 
997
Grp108
 
996
Grp36
 
987
Other values (1192)
154485 

Length

Max length7
Median length6
Mean length5.5505452
Min length4

Characters and Unicode

Total characters885262
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)0.2%

Sample

1st rowGrp66
2nd rowGrp10
3rd rowGrp46
4th rowGrp71
5th rowGrp143

Common Values

ValueCountFrequency (%)
Grp42 1029
 
0.6%
Grp184 997
 
0.6%
Grp137 997
 
0.6%
Grp108 996
 
0.6%
Grp36 987
 
0.6%
Grp22 983
 
0.6%
Grp141 978
 
0.6%
Grp59 974
 
0.6%
Grp45 971
 
0.6%
Grp70 969
 
0.6%
Other values (1187) 149610
93.8%

Length

2023-09-22T03:10:54.881792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
grp42 1029
 
0.6%
grp137 997
 
0.6%
grp184 997
 
0.6%
grp108 996
 
0.6%
grp36 987
 
0.6%
grp22 983
 
0.6%
grp141 978
 
0.6%
grp59 974
 
0.6%
grp45 971
 
0.6%
grp70 969
 
0.6%
Other values (1187) 149610
93.8%

Most occurring characters

ValueCountFrequency (%)
G 159491
18.0%
r 159491
18.0%
p 159491
18.0%
1 81971
9.3%
2 59714
 
6.7%
3 43822
 
5.0%
4 40671
 
4.6%
5 35836
 
4.0%
6 32038
 
3.6%
8 31188
 
3.5%
Other values (3) 81549
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406789
46.0%
Lowercase Letter 318982
36.0%
Uppercase Letter 159491
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 81971
20.2%
2 59714
14.7%
3 43822
10.8%
4 40671
10.0%
5 35836
8.8%
6 32038
 
7.9%
8 31188
 
7.7%
7 28046
 
6.9%
0 27641
 
6.8%
9 25862
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
r 159491
50.0%
p 159491
50.0%
Uppercase Letter
ValueCountFrequency (%)
G 159491
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 478473
54.0%
Common 406789
46.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 81971
20.2%
2 59714
14.7%
3 43822
10.8%
4 40671
10.0%
5 35836
8.8%
6 32038
 
7.9%
8 31188
 
7.7%
7 28046
 
6.9%
0 27641
 
6.8%
9 25862
 
6.4%
Latin
ValueCountFrequency (%)
G 159491
33.3%
r 159491
33.3%
p 159491
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 885262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 159491
18.0%
r 159491
18.0%
p 159491
18.0%
1 81971
9.3%
2 59714
 
6.7%
3 43822
 
5.0%
4 40671
 
4.6%
5 35836
 
4.0%
6 32038
 
3.6%
8 31188
 
3.5%
Other values (3) 81549
9.2%

Per1
Real number (ℝ)

Distinct1629
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6667199
Minimum-12.823333
Maximum1.4833333
Zeros130
Zeros (%)0.1%
Negative14585
Negative (%)9.1%
Memory size2.4 MiB
2023-09-22T03:10:55.113000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-12.823333
5-th percentile-0.29666667
Q10.36
median0.67
Q31.1066667
95-th percentile1.36
Maximum1.4833333
Range14.306667
Interquartile range (IQR)0.74666667

Descriptive statistics

Standard deviation0.65072651
Coefficient of variation (CV)0.97601184
Kurtosis29.672648
Mean0.6667199
Median Absolute Deviation (MAD)0.4
Skewness-3.188117
Sum106335.82
Variance0.42344499
MonotonicityNot monotonic
2023-09-22T03:10:55.352854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.353333333 1434
 
0.9%
1.35 1311
 
0.8%
1.346666667 1300
 
0.8%
1.08 1275
 
0.8%
1.086666667 1196
 
0.7%
1.063333333 1188
 
0.7%
1.06 1182
 
0.7%
1.343333333 1164
 
0.7%
1.066666667 1158
 
0.7%
1.356666667 1143
 
0.7%
Other values (1619) 147140
92.3%
ValueCountFrequency (%)
-12.82333333 1
< 0.1%
-12.68 1
< 0.1%
-11.85333333 1
< 0.1%
-11.30333333 1
< 0.1%
-11.23333333 1
< 0.1%
-11.18333333 1
< 0.1%
-11.09 1
< 0.1%
-10.87 1
< 0.1%
-10.86333333 1
< 0.1%
-10.46666667 1
< 0.1%
ValueCountFrequency (%)
1.483333333 1
 
< 0.1%
1.48 1
 
< 0.1%
1.473333333 4
 
< 0.1%
1.47 7
 
< 0.1%
1.466666667 8
 
< 0.1%
1.463333333 15
 
< 0.1%
1.46 14
 
< 0.1%
1.456666667 31
< 0.1%
1.453333333 31
< 0.1%
1.45 51
< 0.1%

Per2
Real number (ℝ)

Distinct2104
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66867932
Minimum-16.126667
Maximum8.02
Zeros67
Zeros (%)< 0.1%
Negative7690
Negative (%)4.8%
Memory size2.4 MiB
2023-09-22T03:10:55.596932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-16.126667
5-th percentile0.01
Q10.47
median0.69
Q30.93666667
95-th percentile1.27
Maximum8.02
Range24.146667
Interquartile range (IQR)0.46666667

Descriptive statistics

Standard deviation0.54393659
Coefficient of variation (CV)0.81344911
Kurtosis72.174797
Mean0.66867932
Median Absolute Deviation (MAD)0.23333333
Skewness-4.0563582
Sum106648.33
Variance0.29586702
MonotonicityNot monotonic
2023-09-22T03:10:55.838288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6533333333 819
 
0.5%
0.6566666667 787
 
0.5%
0.65 777
 
0.5%
0.6466666667 763
 
0.5%
0.66 759
 
0.5%
0.6666666667 758
 
0.5%
0.6966666667 757
 
0.5%
0.7133333333 755
 
0.5%
0.6933333333 750
 
0.5%
0.6433333333 743
 
0.5%
Other values (2094) 151823
95.2%
ValueCountFrequency (%)
-16.12666667 1
< 0.1%
-14.21333333 1
< 0.1%
-13.39 1
< 0.1%
-12.60666667 1
< 0.1%
-12.23 1
< 0.1%
-12.14666667 1
< 0.1%
-12.14333333 1
< 0.1%
-12.10333333 1
< 0.1%
-11.98 1
< 0.1%
-11.84 1
< 0.1%
ValueCountFrequency (%)
8.02 1
< 0.1%
7.056666667 1
< 0.1%
6.726666667 1
< 0.1%
6.643333333 1
< 0.1%
6.473333333 1
< 0.1%
6.166666667 2
< 0.1%
6.143333333 1
< 0.1%
6.053333333 1
< 0.1%
5.96 1
< 0.1%
5.866666667 1
< 0.1%

Per3
Real number (ℝ)

Distinct1365
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66534168
Minimum-15.443333
Maximum2.0633333
Zeros129
Zeros (%)0.1%
Negative12605
Negative (%)7.9%
Memory size2.4 MiB
2023-09-22T03:10:56.206897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-15.443333
5-th percentile-0.13
Q10.36666667
median0.72333333
Q31.01
95-th percentile1.3533333
Maximum2.0633333
Range17.506667
Interquartile range (IQR)0.64333333

Descriptive statistics

Standard deviation0.50733468
Coefficient of variation (CV)0.7625175
Kurtosis31.450028
Mean0.66534168
Median Absolute Deviation (MAD)0.31333333
Skewness-2.4171461
Sum106116.01
Variance0.25738847
MonotonicityNot monotonic
2023-09-22T03:10:56.660367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7666666667 630
 
0.4%
0.77 627
 
0.4%
0.7633333333 611
 
0.4%
0.76 594
 
0.4%
0.7233333333 569
 
0.4%
0.72 565
 
0.4%
0.7533333333 553
 
0.3%
0.7566666667 552
 
0.3%
0.7733333333 533
 
0.3%
0.8033333333 527
 
0.3%
Other values (1355) 153730
96.4%
ValueCountFrequency (%)
-15.44333333 1
< 0.1%
-10.32333333 1
< 0.1%
-10.15 1
< 0.1%
-9.936666667 1
< 0.1%
-9.52 1
< 0.1%
-9.393333333 2
< 0.1%
-9.336666667 1
< 0.1%
-9.156666667 1
< 0.1%
-8.973333333 1
< 0.1%
-8.803333333 1
< 0.1%
ValueCountFrequency (%)
2.063333333 1
< 0.1%
2.033333333 1
< 0.1%
2.023333333 1
< 0.1%
2.01 1
< 0.1%
1.99 1
< 0.1%
1.983333333 1
< 0.1%
1.98 1
< 0.1%
1.976666667 2
< 0.1%
1.973333333 1
< 0.1%
1.963333333 1
< 0.1%

Per4
Real number (ℝ)

Distinct1222
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66645129
Minimum-1.2266667
Maximum5.7666667
Zeros132
Zeros (%)0.1%
Negative10049
Negative (%)6.3%
Memory size2.4 MiB
2023-09-22T03:10:57.142203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.2266667
5-th percentile-0.066666667
Q10.38333333
median0.66
Q30.91333333
95-th percentile1.5266667
Maximum5.7666667
Range6.9933333
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation0.47246628
Coefficient of variation (CV)0.70892845
Kurtosis2.4237844
Mean0.66645129
Median Absolute Deviation (MAD)0.26666667
Skewness0.65514943
Sum106292.98
Variance0.22322439
MonotonicityNot monotonic
2023-09-22T03:10:57.583560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8033333333 758
 
0.5%
0.8066666667 706
 
0.4%
0.78 704
 
0.4%
0.8333333333 699
 
0.4%
0.74 687
 
0.4%
0.48 670
 
0.4%
0.7766666667 664
 
0.4%
0.4766666667 662
 
0.4%
0.7433333333 662
 
0.4%
0.46 659
 
0.4%
Other values (1212) 152620
95.7%
ValueCountFrequency (%)
-1.226666667 1
< 0.1%
-1.2 1
< 0.1%
-1.186666667 1
< 0.1%
-1.14 1
< 0.1%
-1.133333333 1
< 0.1%
-1.09 1
< 0.1%
-1.076666667 1
< 0.1%
-1.06 1
< 0.1%
-1.05 1
< 0.1%
-1.023333333 1
< 0.1%
ValueCountFrequency (%)
5.766666667 1
< 0.1%
5.046666667 1
< 0.1%
4.9 1
< 0.1%
4.703333333 1
< 0.1%
4.643333333 1
< 0.1%
4.616666667 1
< 0.1%
4.603333333 1
< 0.1%
4.596666667 1
< 0.1%
4.476666667 1
< 0.1%
4.41 1
< 0.1%

Per5
Real number (ℝ)

Distinct1686
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66755694
Minimum-37.246667
Maximum11.636667
Zeros82
Zeros (%)0.1%
Negative4716
Negative (%)3.0%
Memory size2.4 MiB
2023-09-22T03:10:58.018529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-37.246667
5-th percentile0.1
Q10.44
median0.65
Q30.87333333
95-th percentile1.3633333
Maximum11.636667
Range48.883333
Interquartile range (IQR)0.43333333

Descriptive statistics

Standard deviation0.4623066
Coefficient of variation (CV)0.69253508
Kurtosis329.19462
Mean0.66755694
Median Absolute Deviation (MAD)0.21666667
Skewness-4.3312815
Sum106469.32
Variance0.21372739
MonotonicityNot monotonic
2023-09-22T03:10:58.423263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.64 734
 
0.5%
0.6166666667 730
 
0.5%
0.6133333333 727
 
0.5%
0.6366666667 724
 
0.5%
0.6333333333 720
 
0.5%
0.65 717
 
0.4%
0.6933333333 711
 
0.4%
0.69 708
 
0.4%
0.5666666667 703
 
0.4%
0.6266666667 701
 
0.4%
Other values (1676) 152316
95.5%
ValueCountFrequency (%)
-37.24666667 1
< 0.1%
-13.38333333 1
< 0.1%
-12.81 1
< 0.1%
-11.06 1
< 0.1%
-10.03 1
< 0.1%
-9.243333333 1
< 0.1%
-8.786666667 1
< 0.1%
-8.583333333 1
< 0.1%
-8.58 1
< 0.1%
-7.203333333 1
< 0.1%
ValueCountFrequency (%)
11.63666667 1
< 0.1%
11.15333333 1
< 0.1%
10.25333333 1
< 0.1%
8.886666667 1
< 0.1%
8.786666667 1
< 0.1%
8.35 1
< 0.1%
7.62 1
< 0.1%
7.47 1
< 0.1%
7.06 1
< 0.1%
6.87 1
< 0.1%

Per6
Real number (ℝ)

Distinct1342
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66717618
Minimum-6.6433333
Maximum25.1
Zeros41
Zeros (%)< 0.1%
Negative1911
Negative (%)1.2%
Memory size2.4 MiB
2023-09-22T03:10:58.771427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-6.6433333
5-th percentile0.19666667
Q10.41
median0.57666667
Q30.8
95-th percentile1.72
Maximum25.1
Range31.743333
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.44419872
Coefficient of variation (CV)0.66578923
Kurtosis66.930627
Mean0.66717618
Median Absolute Deviation (MAD)0.18666667
Skewness2.3600193
Sum106408.6
Variance0.1973125
MonotonicityNot monotonic
2023-09-22T03:10:59.093036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4666666667 952
 
0.6%
0.4733333333 934
 
0.6%
0.4766666667 912
 
0.6%
0.47 903
 
0.6%
0.4933333333 894
 
0.6%
0.48 893
 
0.6%
0.4633333333 886
 
0.6%
0.4966666667 879
 
0.6%
0.4866666667 877
 
0.5%
0.4333333333 848
 
0.5%
Other values (1332) 150513
94.4%
ValueCountFrequency (%)
-6.643333333 1
< 0.1%
-6.416666667 1
< 0.1%
-6 1
< 0.1%
-5.19 1
< 0.1%
-4.89 1
< 0.1%
-4.703333333 1
< 0.1%
-4.686666667 1
< 0.1%
-3.863333333 1
< 0.1%
-3.786666667 1
< 0.1%
-3.67 1
< 0.1%
ValueCountFrequency (%)
25.1 1
< 0.1%
8.64 1
< 0.1%
8.176666667 1
< 0.1%
7.85 1
< 0.1%
7.796666667 1
< 0.1%
7.77 1
< 0.1%
6.69 1
< 0.1%
6.34 1
< 0.1%
6.163333333 1
< 0.1%
6.136666667 1
< 0.1%

Per7
Real number (ℝ)

Distinct1680
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66689742
Minimum-13.853333
Maximum40.863333
Zeros47
Zeros (%)< 0.1%
Negative3381
Negative (%)2.1%
Memory size2.4 MiB
2023-09-22T03:10:59.337137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-13.853333
5-th percentile0.19
Q10.48333333
median0.68
Q30.85666667
95-th percentile1.1366667
Maximum40.863333
Range54.716667
Interquartile range (IQR)0.37333333

Descriptive statistics

Standard deviation0.4162463
Coefficient of variation (CV)0.6241534
Kurtosis637.60604
Mean0.66689742
Median Absolute Deviation (MAD)0.18666667
Skewness5.3222393
Sum106364.14
Variance0.17326098
MonotonicityNot monotonic
2023-09-22T03:10:59.563977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.69 1011
 
0.6%
0.6966666667 1002
 
0.6%
0.6866666667 998
 
0.6%
0.7 976
 
0.6%
0.7033333333 972
 
0.6%
0.67 964
 
0.6%
0.6933333333 958
 
0.6%
0.71 951
 
0.6%
0.6733333333 946
 
0.6%
0.7066666667 945
 
0.6%
Other values (1670) 149768
93.9%
ValueCountFrequency (%)
-13.85333333 1
< 0.1%
-11.68666667 1
< 0.1%
-9.733333333 2
< 0.1%
-8.74 1
< 0.1%
-8.67 1
< 0.1%
-7.46 1
< 0.1%
-7.126666667 1
< 0.1%
-7.063333333 1
< 0.1%
-6.84 1
< 0.1%
-6.763333333 1
< 0.1%
ValueCountFrequency (%)
40.86333333 1
< 0.1%
15.35 1
< 0.1%
12.96 1
< 0.1%
12.89333333 1
< 0.1%
12.1 1
< 0.1%
11.17666667 1
< 0.1%
10.96666667 1
< 0.1%
10.16666667 1
< 0.1%
10.08 1
< 0.1%
9.413333333 1
< 0.1%

Per8
Real number (ℝ)

Distinct1810
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66691792
Minimum-16.313333
Maximum7.1966667
Zeros12
Zeros (%)< 0.1%
Negative4193
Negative (%)2.6%
Memory size2.4 MiB
2023-09-22T03:10:59.808791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-16.313333
5-th percentile0.38333333
Q10.59666667
median0.67333333
Q30.77666667
95-th percentile1.0166667
Maximum7.1966667
Range23.51
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.39535622
Coefficient of variation (CV)0.59281091
Kurtosis155.91558
Mean0.66691792
Median Absolute Deviation (MAD)0.086666667
Skewness-7.314787
Sum106367.41
Variance0.15630654
MonotonicityNot monotonic
2023-09-22T03:11:00.063534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6466666667 1902
 
1.2%
0.6533333333 1883
 
1.2%
0.6633333333 1858
 
1.2%
0.64 1838
 
1.2%
0.66 1833
 
1.1%
0.65 1816
 
1.1%
0.6366666667 1792
 
1.1%
0.6433333333 1786
 
1.1%
0.6566666667 1782
 
1.1%
0.6666666667 1762
 
1.1%
Other values (1800) 141239
88.6%
ValueCountFrequency (%)
-16.31333333 1
< 0.1%
-13.16 1
< 0.1%
-13.01333333 1
< 0.1%
-12.56333333 1
< 0.1%
-12.42333333 1
< 0.1%
-11.78333333 1
< 0.1%
-10.84333333 1
< 0.1%
-9.96 1
< 0.1%
-8.92 1
< 0.1%
-8.68 1
< 0.1%
ValueCountFrequency (%)
7.196666667 1
< 0.1%
7.056666667 1
< 0.1%
6.916666667 1
< 0.1%
6.903333333 1
< 0.1%
6.776666667 1
< 0.1%
6.76 1
< 0.1%
6.646666667 1
< 0.1%
6.633333333 1
< 0.1%
6.523333333 1
< 0.1%
6.35 1
< 0.1%

Per9
Real number (ℝ)

Distinct1129
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66686762
Minimum-3.7733333
Maximum4.11
Zeros107
Zeros (%)0.1%
Negative4983
Negative (%)3.1%
Memory size2.4 MiB
2023-09-22T03:11:00.315667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-3.7733333
5-th percentile0.08
Q10.45333333
median0.65
Q30.86666667
95-th percentile1.26
Maximum4.11
Range7.8833333
Interquartile range (IQR)0.41333333

Descriptive statistics

Standard deviation0.36603855
Coefficient of variation (CV)0.54889238
Kurtosis3.501651
Mean0.66686762
Median Absolute Deviation (MAD)0.20666667
Skewness0.53993555
Sum106359.38
Variance0.13398422
MonotonicityNot monotonic
2023-09-22T03:11:00.572688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.65 899
 
0.6%
0.6333333333 881
 
0.6%
0.6166666667 837
 
0.5%
0.6566666667 806
 
0.5%
0.6366666667 806
 
0.5%
0.6133333333 801
 
0.5%
0.6533333333 800
 
0.5%
0.6233333333 799
 
0.5%
0.64 784
 
0.5%
0.62 771
 
0.5%
Other values (1119) 151307
94.9%
ValueCountFrequency (%)
-3.773333333 1
< 0.1%
-3.043333333 1
< 0.1%
-2.493333333 1
< 0.1%
-2.486666667 2
< 0.1%
-2.426666667 1
< 0.1%
-2.32 1
< 0.1%
-2.246666667 1
< 0.1%
-2.21 1
< 0.1%
-1.976666667 1
< 0.1%
-1.936666667 1
< 0.1%
ValueCountFrequency (%)
4.11 1
< 0.1%
4.103333333 1
< 0.1%
3.756666667 1
< 0.1%
3.743333333 1
< 0.1%
3.736666667 1
< 0.1%
3.71 1
< 0.1%
3.703333333 1
< 0.1%
3.7 1
< 0.1%
3.693333333 1
< 0.1%
3.646666667 1
< 0.1%

Dem1
Real number (ℝ)

Distinct846
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66675073
Minimum-0.89333333
Maximum4.6733333
Zeros56
Zeros (%)< 0.1%
Negative2125
Negative (%)1.3%
Memory size2.4 MiB
2023-09-22T03:11:00.840639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.89333333
5-th percentile0.14333333
Q10.41333333
median0.65666667
Q30.91333333
95-th percentile1.2066667
Maximum4.6733333
Range5.5666667
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.34094199
Coefficient of variation (CV)0.51134851
Kurtosis1.7779174
Mean0.66675073
Median Absolute Deviation (MAD)0.25
Skewness0.372918
Sum106340.74
Variance0.11624144
MonotonicityNot monotonic
2023-09-22T03:11:01.081605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6866666667 698
 
0.4%
0.5933333333 671
 
0.4%
0.4866666667 659
 
0.4%
0.4766666667 643
 
0.4%
0.6133333333 641
 
0.4%
0.5866666667 630
 
0.4%
0.7766666667 619
 
0.4%
0.6666666667 608
 
0.4%
0.64 603
 
0.4%
0.6166666667 599
 
0.4%
Other values (836) 153120
96.0%
ValueCountFrequency (%)
-0.8933333333 1
< 0.1%
-0.78 1
< 0.1%
-0.7033333333 1
< 0.1%
-0.6833333333 1
< 0.1%
-0.6766666667 1
< 0.1%
-0.67 2
< 0.1%
-0.6666666667 2
< 0.1%
-0.6266666667 1
< 0.1%
-0.59 2
< 0.1%
-0.57 1
< 0.1%
ValueCountFrequency (%)
4.673333333 1
< 0.1%
4.556666667 1
< 0.1%
4.426666667 1
< 0.1%
4.41 1
< 0.1%
4.383333333 1
< 0.1%
4.343333333 1
< 0.1%
4.283333333 1
< 0.1%
4.15 1
< 0.1%
4.093333333 1
< 0.1%
4.063333333 1
< 0.1%

Dem2
Real number (ℝ)

Distinct749
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66628297
Minimum-0.67
Maximum3.0433333
Zeros81
Zeros (%)0.1%
Negative3396
Negative (%)2.1%
Memory size2.4 MiB
2023-09-22T03:11:01.338016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile0.12
Q10.45
median0.66
Q30.88666667
95-th percentile1.2033333
Maximum3.0433333
Range3.7133333
Interquartile range (IQR)0.43666667

Descriptive statistics

Standard deviation0.33242896
Coefficient of variation (CV)0.4989306
Kurtosis0.2106816
Mean0.66628297
Median Absolute Deviation (MAD)0.22
Skewness0.070256885
Sum106266.14
Variance0.11050901
MonotonicityNot monotonic
2023-09-22T03:11:01.580491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.62 787
 
0.5%
0.65 780
 
0.5%
0.68 779
 
0.5%
0.6666666667 777
 
0.5%
0.5966666667 776
 
0.5%
0.67 770
 
0.5%
0.6433333333 754
 
0.5%
0.66 747
 
0.5%
0.6566666667 730
 
0.5%
0.5933333333 725
 
0.5%
Other values (739) 151866
95.2%
ValueCountFrequency (%)
-0.67 1
< 0.1%
-0.6533333333 1
< 0.1%
-0.6266666667 1
< 0.1%
-0.6166666667 1
< 0.1%
-0.5966666667 1
< 0.1%
-0.5833333333 2
< 0.1%
-0.5766666667 1
< 0.1%
-0.5666666667 2
< 0.1%
-0.56 1
< 0.1%
-0.5566666667 1
< 0.1%
ValueCountFrequency (%)
3.043333333 1
< 0.1%
2.19 1
< 0.1%
2.156666667 1
< 0.1%
2.106666667 1
< 0.1%
2.086666667 1
< 0.1%
2.033333333 1
< 0.1%
1.983333333 1
< 0.1%
1.966666667 1
< 0.1%
1.953333333 1
< 0.1%
1.936666667 1
< 0.1%

Dem3
Real number (ℝ)

Distinct723
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66615759
Minimum-0.83333333
Maximum3.6266667
Zeros69
Zeros (%)< 0.1%
Negative3826
Negative (%)2.4%
Memory size2.4 MiB
2023-09-22T03:11:01.851431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.83333333
5-th percentile0.13333333
Q10.47
median0.68333333
Q30.88333333
95-th percentile1.1233333
Maximum3.6266667
Range4.46
Interquartile range (IQR)0.41333333

Descriptive statistics

Standard deviation0.30578825
Coefficient of variation (CV)0.4590329
Kurtosis0.29789459
Mean0.66615759
Median Absolute Deviation (MAD)0.20666667
Skewness-0.30755148
Sum106246.14
Variance0.093506456
MonotonicityNot monotonic
2023-09-22T03:11:02.093726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6966666667 774
 
0.5%
0.6166666667 760
 
0.5%
0.7533333333 752
 
0.5%
0.7133333333 750
 
0.5%
0.72 733
 
0.5%
0.68 732
 
0.5%
0.7366666667 727
 
0.5%
0.6733333333 726
 
0.5%
0.7566666667 726
 
0.5%
0.7233333333 726
 
0.5%
Other values (713) 152085
95.4%
ValueCountFrequency (%)
-0.8333333333 1
< 0.1%
-0.7333333333 1
< 0.1%
-0.6966666667 1
< 0.1%
-0.6766666667 1
< 0.1%
-0.67 1
< 0.1%
-0.63 1
< 0.1%
-0.6266666667 2
< 0.1%
-0.62 1
< 0.1%
-0.6133333333 1
< 0.1%
-0.5966666667 1
< 0.1%
ValueCountFrequency (%)
3.626666667 1
< 0.1%
2.563333333 1
< 0.1%
2.556666667 1
< 0.1%
2.5 1
< 0.1%
2.376666667 1
< 0.1%
2.323333333 1
< 0.1%
2.266666667 1
< 0.1%
2.146666667 1
< 0.1%
2.123333333 1
< 0.1%
2.05 1
< 0.1%

Dem4
Real number (ℝ)

Distinct909
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66644636
Minimum-3.8533333
Maximum6.44
Zeros59
Zeros (%)< 0.1%
Negative3343
Negative (%)2.1%
Memory size2.4 MiB
2023-09-22T03:11:02.337875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-3.8533333
5-th percentile0.17
Q10.51
median0.68666667
Q30.84
95-th percentile1.1066667
Maximum6.44
Range10.293333
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.29203982
Coefficient of variation (CV)0.43820454
Kurtosis10.648391
Mean0.66644636
Median Absolute Deviation (MAD)0.16333333
Skewness-1.0741766
Sum106292.2
Variance0.085287256
MonotonicityNot monotonic
2023-09-22T03:11:02.578108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7266666667 1007
 
0.6%
0.72 971
 
0.6%
0.7033333333 961
 
0.6%
0.74 956
 
0.6%
0.7233333333 926
 
0.6%
0.6966666667 925
 
0.6%
0.7366666667 924
 
0.6%
0.78 919
 
0.6%
0.7166666667 917
 
0.6%
0.7433333333 915
 
0.6%
Other values (899) 150070
94.1%
ValueCountFrequency (%)
-3.853333333 1
< 0.1%
-3.766666667 1
< 0.1%
-3.75 1
< 0.1%
-3.56 1
< 0.1%
-3.553333333 1
< 0.1%
-3.476666667 2
< 0.1%
-3.46 2
< 0.1%
-3.41 1
< 0.1%
-3.39 1
< 0.1%
-3.37 1
< 0.1%
ValueCountFrequency (%)
6.44 1
< 0.1%
3.43 1
< 0.1%
3.02 1
< 0.1%
2.7 1
< 0.1%
2.666666667 1
< 0.1%
2.573333333 1
< 0.1%
2.52 1
< 0.1%
2.34 1
< 0.1%
2.333333333 1
< 0.1%
2.283333333 1
< 0.1%

Dem5
Real number (ℝ)

Distinct789
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66594322
Minimum-2.43
Maximum2.08
Zeros54
Zeros (%)< 0.1%
Negative2254
Negative (%)1.4%
Memory size2.4 MiB
2023-09-22T03:11:02.824501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-2.43
5-th percentile0.21333333
Q10.5
median0.66666667
Q30.83333333
95-th percentile1.13
Maximum2.08
Range4.51
Interquartile range (IQR)0.33333333

Descriptive statistics

Standard deviation0.27923801
Coefficient of variation (CV)0.41931204
Kurtosis2.5341983
Mean0.66594322
Median Absolute Deviation (MAD)0.16666667
Skewness-0.26496188
Sum106211.95
Variance0.077973867
MonotonicityNot monotonic
2023-09-22T03:11:03.061672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6433333333 984
 
0.6%
0.64 972
 
0.6%
0.6733333333 951
 
0.6%
0.6266666667 949
 
0.6%
0.7 933
 
0.6%
0.65 918
 
0.6%
0.6933333333 899
 
0.6%
0.7033333333 897
 
0.6%
0.63 894
 
0.6%
0.6566666667 891
 
0.6%
Other values (779) 150203
94.2%
ValueCountFrequency (%)
-2.43 1
< 0.1%
-2.39 1
< 0.1%
-2.363333333 1
< 0.1%
-2.286666667 1
< 0.1%
-2.276666667 1
< 0.1%
-2.223333333 1
< 0.1%
-2.176666667 1
< 0.1%
-2.166666667 1
< 0.1%
-2.05 1
< 0.1%
-2.02 1
< 0.1%
ValueCountFrequency (%)
2.08 1
< 0.1%
2.066666667 1
< 0.1%
2.026666667 1
< 0.1%
2.016666667 1
< 0.1%
2.01 1
< 0.1%
1.953333333 1
< 0.1%
1.933333333 1
< 0.1%
1.923333333 2
< 0.1%
1.913333333 1
< 0.1%
1.91 1
< 0.1%

Dem6
Real number (ℝ)

Distinct789
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66685069
Minimum-0.97666667
Maximum2.53
Zeros47
Zeros (%)< 0.1%
Negative1868
Negative (%)1.2%
Memory size2.4 MiB
2023-09-22T03:11:03.301001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.97666667
5-th percentile0.21333333
Q10.51333333
median0.66666667
Q30.82
95-th percentile1.0933333
Maximum2.53
Range3.5066667
Interquartile range (IQR)0.30666667

Descriptive statistics

Standard deviation0.27131407
Coefficient of variation (CV)0.4068588
Kurtosis1.6927875
Mean0.66685069
Median Absolute Deviation (MAD)0.15333333
Skewness0.11625795
Sum106356.68
Variance0.073611325
MonotonicityNot monotonic
2023-09-22T03:11:03.539180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6733333333 1149
 
0.7%
0.6366666667 1134
 
0.7%
0.69 1115
 
0.7%
0.7333333333 1112
 
0.7%
0.6933333333 1060
 
0.7%
0.67 1057
 
0.7%
0.6033333333 1054
 
0.7%
0.6133333333 1050
 
0.7%
0.6 1048
 
0.7%
0.6166666667 1045
 
0.7%
Other values (779) 148667
93.2%
ValueCountFrequency (%)
-0.9766666667 1
< 0.1%
-0.8 1
< 0.1%
-0.7966666667 1
< 0.1%
-0.79 1
< 0.1%
-0.7833333333 1
< 0.1%
-0.6766666667 1
< 0.1%
-0.6733333333 1
< 0.1%
-0.6533333333 1
< 0.1%
-0.65 1
< 0.1%
-0.6366666667 1
< 0.1%
ValueCountFrequency (%)
2.53 1
< 0.1%
2.5 1
< 0.1%
2.41 1
< 0.1%
2.296666667 1
< 0.1%
2.266666667 1
< 0.1%
2.24 1
< 0.1%
2.233333333 1
< 0.1%
2.2 1
< 0.1%
2.173333333 1
< 0.1%
2.123333333 1
< 0.1%

Dem7
Real number (ℝ)

Distinct1332
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66660693
Minimum-17.5
Maximum9.4133333
Zeros9
Zeros (%)< 0.1%
Negative1092
Negative (%)0.7%
Memory size2.4 MiB
2023-09-22T03:11:03.795751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-17.5
5-th percentile0.48
Q10.59666667
median0.64666667
Q30.71
95-th percentile0.94666667
Maximum9.4133333
Range26.913333
Interquartile range (IQR)0.11333333

Descriptive statistics

Standard deviation0.25706463
Coefficient of variation (CV)0.3856315
Kurtosis307.19229
Mean0.66660693
Median Absolute Deviation (MAD)0.056666667
Skewness-3.5370112
Sum106317.81
Variance0.066082226
MonotonicityNot monotonic
2023-09-22T03:11:04.053425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6266666667 2877
 
1.8%
0.6166666667 2831
 
1.8%
0.6233333333 2809
 
1.8%
0.6333333333 2796
 
1.8%
0.62 2776
 
1.7%
0.6366666667 2755
 
1.7%
0.63 2748
 
1.7%
0.61 2736
 
1.7%
0.6133333333 2702
 
1.7%
0.64 2688
 
1.7%
Other values (1322) 131773
82.6%
ValueCountFrequency (%)
-17.5 1
< 0.1%
-8.67 1
< 0.1%
-6.653333333 1
< 0.1%
-6.51 1
< 0.1%
-6.34 1
< 0.1%
-6.186666667 1
< 0.1%
-6.173333333 1
< 0.1%
-6.08 1
< 0.1%
-6.07 1
< 0.1%
-6.033333333 1
< 0.1%
ValueCountFrequency (%)
9.413333333 1
< 0.1%
8.71 1
< 0.1%
8.55 1
< 0.1%
8.546666667 1
< 0.1%
7.25 1
< 0.1%
6.63 1
< 0.1%
6.426666667 1
< 0.1%
6.146666667 1
< 0.1%
6.06 1
< 0.1%
5.84 1
< 0.1%

Dem8
Real number (ℝ)

Distinct1356
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66672193
Minimum-6.9333333
Maximum9.7333333
Zeros5
Zeros (%)< 0.1%
Negative996
Negative (%)0.6%
Memory size2.4 MiB
2023-09-22T03:11:04.296291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-6.9333333
5-th percentile0.49666667
Q10.59
median0.65666667
Q30.73
95-th percentile0.84666667
Maximum9.7333333
Range16.666667
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.24126336
Coefficient of variation (CV)0.36186504
Kurtosis169.83602
Mean0.66672193
Median Absolute Deviation (MAD)0.07
Skewness3.3463973
Sum106336.15
Variance0.058208007
MonotonicityNot monotonic
2023-09-22T03:11:04.536807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.58 2290
 
1.4%
0.6533333333 2172
 
1.4%
0.5766666667 2163
 
1.4%
0.6566666667 2127
 
1.3%
0.6466666667 2121
 
1.3%
0.6366666667 2091
 
1.3%
0.65 2081
 
1.3%
0.57 2067
 
1.3%
0.59 2067
 
1.3%
0.66 2055
 
1.3%
Other values (1346) 138257
86.7%
ValueCountFrequency (%)
-6.933333333 1
< 0.1%
-6.89 1
< 0.1%
-6.54 1
< 0.1%
-6.086666667 1
< 0.1%
-5.543333333 1
< 0.1%
-5.533333333 1
< 0.1%
-4.973333333 1
< 0.1%
-4.596666667 1
< 0.1%
-4.02 1
< 0.1%
-3.993333333 1
< 0.1%
ValueCountFrequency (%)
9.733333333 1
< 0.1%
8.196666667 1
< 0.1%
8.193333333 2
< 0.1%
7.353333333 1
< 0.1%
7.11 2
< 0.1%
7.103333333 1
< 0.1%
7.096666667 1
< 0.1%
7.093333333 1
< 0.1%
6.433333333 1
< 0.1%
6.286666667 1
< 0.1%

Dem9
Real number (ℝ)

Distinct754
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66653859
Minimum-2.2966667
Maximum3.44
Zeros17
Zeros (%)< 0.1%
Negative723
Negative (%)0.5%
Memory size2.4 MiB
2023-09-22T03:11:04.807349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-2.2966667
5-th percentile0.30666667
Q10.48666667
median0.67
Q30.84333333
95-th percentile1.0433333
Maximum3.44
Range5.7366667
Interquartile range (IQR)0.35666667

Descriptive statistics

Standard deviation0.24185644
Coefficient of variation (CV)0.36285437
Kurtosis2.0870928
Mean0.66653859
Median Absolute Deviation (MAD)0.18
Skewness-0.17402965
Sum106306.91
Variance0.058494538
MonotonicityNot monotonic
2023-09-22T03:11:05.037657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6933333333 914
 
0.6%
0.7 868
 
0.5%
0.7066666667 867
 
0.5%
0.67 861
 
0.5%
0.66 847
 
0.5%
0.73 846
 
0.5%
0.47 846
 
0.5%
0.6633333333 841
 
0.5%
0.6766666667 840
 
0.5%
0.7033333333 839
 
0.5%
Other values (744) 150922
94.6%
ValueCountFrequency (%)
-2.296666667 1
< 0.1%
-2.176666667 1
< 0.1%
-2.16 1
< 0.1%
-2.15 1
< 0.1%
-1.776666667 1
< 0.1%
-1.703333333 1
< 0.1%
-1.643333333 1
< 0.1%
-1.44 1
< 0.1%
-1.383333333 1
< 0.1%
-1.376666667 1
< 0.1%
ValueCountFrequency (%)
3.44 1
< 0.1%
3.423333333 1
< 0.1%
3.073333333 1
< 0.1%
2.93 1
< 0.1%
2.696666667 1
< 0.1%
2.63 1
< 0.1%
2.603333333 1
< 0.1%
2.57 1
< 0.1%
2.566666667 1
< 0.1%
2.46 1
< 0.1%

Cred1
Real number (ℝ)

Distinct1145
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66669361
Minimum-14.27
Maximum8.1766667
Zeros6
Zeros (%)< 0.1%
Negative704
Negative (%)0.4%
Memory size2.4 MiB
2023-09-22T03:11:05.286593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-14.27
5-th percentile0.51
Q10.61333333
median0.66333333
Q30.71666667
95-th percentile0.83
Maximum8.1766667
Range22.446667
Interquartile range (IQR)0.10333333

Descriptive statistics

Standard deviation0.20812984
Coefficient of variation (CV)0.31218214
Kurtosis501.92582
Mean0.66669361
Median Absolute Deviation (MAD)0.05
Skewness-6.0046246
Sum106331.63
Variance0.043318029
MonotonicityNot monotonic
2023-09-22T03:11:05.531258image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6633333333 3118
 
2.0%
0.6533333333 2985
 
1.9%
0.66 2985
 
1.9%
0.65 2963
 
1.9%
0.67 2947
 
1.8%
0.6466666667 2922
 
1.8%
0.6666666667 2883
 
1.8%
0.6433333333 2864
 
1.8%
0.6733333333 2857
 
1.8%
0.6566666667 2849
 
1.8%
Other values (1135) 130118
81.6%
ValueCountFrequency (%)
-14.27 1
< 0.1%
-10.27666667 1
< 0.1%
-9.423333333 1
< 0.1%
-8.25 1
< 0.1%
-8.143333333 1
< 0.1%
-7.073333333 1
< 0.1%
-6.86 1
< 0.1%
-6.263333333 1
< 0.1%
-6.253333333 1
< 0.1%
-6.01 1
< 0.1%
ValueCountFrequency (%)
8.176666667 1
< 0.1%
7.6 1
< 0.1%
7.076666667 1
< 0.1%
7 1
< 0.1%
6.983333333 1
< 0.1%
6.786666667 1
< 0.1%
6.536666667 1
< 0.1%
6.433333333 1
< 0.1%
5.906666667 1
< 0.1%
5.876666667 1
< 0.1%

Cred2
Real number (ℝ)

Distinct467
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66570649
Minimum-0.28
Maximum2.1933333
Zeros5
Zeros (%)< 0.1%
Negative154
Negative (%)0.1%
Memory size2.4 MiB
2023-09-22T03:11:05.770958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.28
5-th percentile0.28333333
Q10.54666667
median0.68
Q30.81333333
95-th percentile0.95666667
Maximum2.1933333
Range2.4733333
Interquartile range (IQR)0.26666667

Descriptive statistics

Standard deviation0.20239785
Coefficient of variation (CV)0.30403467
Kurtosis0.58256709
Mean0.66570649
Median Absolute Deviation (MAD)0.13333333
Skewness-0.55266308
Sum106174.19
Variance0.040964891
MonotonicityNot monotonic
2023-09-22T03:11:07.158506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.68 2054
 
1.3%
0.6733333333 2025
 
1.3%
0.6766666667 1960
 
1.2%
0.6833333333 1945
 
1.2%
0.67 1943
 
1.2%
0.6666666667 1891
 
1.2%
0.6866666667 1831
 
1.1%
0.6633333333 1802
 
1.1%
0.66 1721
 
1.1%
0.69 1679
 
1.1%
Other values (457) 140640
88.2%
ValueCountFrequency (%)
-0.28 1
< 0.1%
-0.2733333333 1
< 0.1%
-0.27 1
< 0.1%
-0.2633333333 1
< 0.1%
-0.26 1
< 0.1%
-0.2466666667 1
< 0.1%
-0.2433333333 2
< 0.1%
-0.24 1
< 0.1%
-0.2333333333 2
< 0.1%
-0.2266666667 1
< 0.1%
ValueCountFrequency (%)
2.193333333 1
< 0.1%
2.006666667 1
< 0.1%
2 1
< 0.1%
1.993333333 1
< 0.1%
1.983333333 2
< 0.1%
1.98 1
< 0.1%
1.976666667 1
< 0.1%
1.9 2
< 0.1%
1.896666667 1
< 0.1%
1.88 1
< 0.1%

Cred3
Real number (ℝ)

Distinct592
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66668257
Minimum-2.7666667
Maximum2.61
Zeros7
Zeros (%)< 0.1%
Negative467
Negative (%)0.3%
Memory size2.4 MiB
2023-09-22T03:11:07.398949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-2.7666667
5-th percentile0.39333333
Q10.56
median0.67333333
Q30.78333333
95-th percentile0.92
Maximum2.61
Range5.3766667
Interquartile range (IQR)0.22333333

Descriptive statistics

Standard deviation0.17377848
Coefficient of variation (CV)0.2606615
Kurtosis4.4799292
Mean0.66668257
Median Absolute Deviation (MAD)0.11
Skewness-0.45148617
Sum106329.87
Variance0.030198959
MonotonicityNot monotonic
2023-09-22T03:11:07.652262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5766666667 1459
 
0.9%
0.57 1427
 
0.9%
0.75 1360
 
0.9%
0.58 1346
 
0.8%
0.79 1345
 
0.8%
0.5866666667 1324
 
0.8%
0.5733333333 1320
 
0.8%
0.7366666667 1317
 
0.8%
0.7433333333 1315
 
0.8%
0.7466666667 1306
 
0.8%
Other values (582) 145972
91.5%
ValueCountFrequency (%)
-2.766666667 1
< 0.1%
-2.233333333 1
< 0.1%
-1.833333333 1
< 0.1%
-1.476666667 1
< 0.1%
-0.9766666667 1
< 0.1%
-0.95 1
< 0.1%
-0.9266666667 1
< 0.1%
-0.8533333333 1
< 0.1%
-0.85 1
< 0.1%
-0.8466666667 2
< 0.1%
ValueCountFrequency (%)
2.61 1
< 0.1%
2.513333333 1
< 0.1%
2.506666667 1
< 0.1%
2.49 1
< 0.1%
2.276666667 1
< 0.1%
2.183333333 1
< 0.1%
2.17 1
< 0.1%
2.1 1
< 0.1%
2.01 1
< 0.1%
1.993333333 1
< 0.1%

Cred4
Real number (ℝ)

Distinct449
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66695726
Minimum-0.08
Maximum1.84
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size2.4 MiB
2023-09-22T03:11:07.910872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.08
5-th percentile0.43333333
Q10.55666667
median0.65
Q30.74666667
95-th percentile0.97333333
Maximum1.84
Range1.92
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1607923
Coefficient of variation (CV)0.24108336
Kurtosis0.9781157
Mean0.66695726
Median Absolute Deviation (MAD)0.093333333
Skewness0.58735812
Sum106373.68
Variance0.025854163
MonotonicityNot monotonic
2023-09-22T03:11:08.148768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 2319
 
1.5%
0.6966666667 2131
 
1.3%
0.69 1943
 
1.2%
0.7133333333 1943
 
1.2%
0.6933333333 1886
 
1.2%
0.7166666667 1879
 
1.2%
0.7033333333 1847
 
1.2%
0.7066666667 1775
 
1.1%
0.6333333333 1754
 
1.1%
0.5566666667 1741
 
1.1%
Other values (439) 140273
88.0%
ValueCountFrequency (%)
-0.08 1
 
< 0.1%
0.04666666667 1
 
< 0.1%
0.07333333333 1
 
< 0.1%
0.07666666667 1
 
< 0.1%
0.09 1
 
< 0.1%
0.09333333333 1
 
< 0.1%
0.1133333333 2
< 0.1%
0.1166666667 2
< 0.1%
0.12 1
 
< 0.1%
0.1333333333 3
< 0.1%
ValueCountFrequency (%)
1.84 1
< 0.1%
1.82 1
< 0.1%
1.806666667 1
< 0.1%
1.74 1
< 0.1%
1.706666667 2
< 0.1%
1.696666667 1
< 0.1%
1.69 2
< 0.1%
1.68 2
< 0.1%
1.676666667 1
< 0.1%
1.666666667 1
< 0.1%

Cred5
Real number (ℝ)

Distinct851
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66679612
Minimum-2.6333333
Maximum11.203333
Zeros9
Zeros (%)< 0.1%
Negative698
Negative (%)0.4%
Memory size2.4 MiB
2023-09-22T03:11:08.407360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-2.6333333
5-th percentile0.52833333
Q10.64333333
median0.66666667
Q30.69666667
95-th percentile0.79666667
Maximum11.203333
Range13.836667
Interquartile range (IQR)0.053333333

Descriptive statistics

Standard deviation0.13574386
Coefficient of variation (CV)0.20357625
Kurtosis315.13875
Mean0.66679612
Median Absolute Deviation (MAD)0.026666667
Skewness0.79666366
Sum106347.98
Variance0.018426394
MonotonicityNot monotonic
2023-09-22T03:11:08.651305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.66 6658
 
4.2%
0.6566666667 6290
 
3.9%
0.6766666667 5966
 
3.7%
0.6633333333 5892
 
3.7%
0.6666666667 5886
 
3.7%
0.6733333333 5705
 
3.6%
0.67 5602
 
3.5%
0.6533333333 5278
 
3.3%
0.68 5171
 
3.2%
0.6433333333 5083
 
3.2%
Other values (841) 101960
63.9%
ValueCountFrequency (%)
-2.633333333 1
< 0.1%
-2.616666667 1
< 0.1%
-2.596666667 1
< 0.1%
-2.513333333 2
< 0.1%
-2.463333333 1
< 0.1%
-2.293333333 1
< 0.1%
-2.28 1
< 0.1%
-2.19 1
< 0.1%
-2.086666667 1
< 0.1%
-1.92 1
< 0.1%
ValueCountFrequency (%)
11.20333333 1
< 0.1%
4.716666667 1
< 0.1%
4.38 1
< 0.1%
4.17 1
< 0.1%
4.046666667 1
< 0.1%
3.96 1
< 0.1%
3.733333333 1
< 0.1%
3.57 1
< 0.1%
3.366666667 1
< 0.1%
3.363333333 1
< 0.1%

Cred6
Real number (ℝ)

Distinct685
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66687606
Minimum-4.4766667
Maximum5.98
Zeros2
Zeros (%)< 0.1%
Negative255
Negative (%)0.2%
Memory size2.4 MiB
2023-09-22T03:11:08.921670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-4.4766667
5-th percentile0.56
Q10.65
median0.67
Q30.69333333
95-th percentile0.75333333
Maximum5.98
Range10.456667
Interquartile range (IQR)0.043333333

Descriptive statistics

Standard deviation0.10792508
Coefficient of variation (CV)0.16183679
Kurtosis561.52834
Mean0.66687606
Median Absolute Deviation (MAD)0.02
Skewness8.0357025
Sum106360.73
Variance0.011647824
MonotonicityNot monotonic
2023-09-22T03:11:09.342020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6733333333 10384
 
6.5%
0.67 9325
 
5.8%
0.6766666667 8741
 
5.5%
0.6666666667 6809
 
4.3%
0.6533333333 6639
 
4.2%
0.6466666667 6511
 
4.1%
0.6566666667 6248
 
3.9%
0.65 6125
 
3.8%
0.68 5571
 
3.5%
0.6633333333 5051
 
3.2%
Other values (675) 88087
55.2%
ValueCountFrequency (%)
-4.476666667 1
< 0.1%
-2.54 1
< 0.1%
-2.22 1
< 0.1%
-2.16 1
< 0.1%
-2.12 1
< 0.1%
-2.103333333 1
< 0.1%
-2.093333333 1
< 0.1%
-2.076666667 1
< 0.1%
-2.063333333 1
< 0.1%
-2.03 1
< 0.1%
ValueCountFrequency (%)
5.98 1
< 0.1%
5.956666667 1
< 0.1%
5.923333333 1
< 0.1%
5.91 1
< 0.1%
5.883333333 1
< 0.1%
5.876666667 1
< 0.1%
5.873333333 1
< 0.1%
5.84 1
< 0.1%
5.806666667 1
< 0.1%
5.803333333 1
< 0.1%

Normalised_FNT
Real number (ℝ)

Distinct24320
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-228.03984
Minimum-250
Maximum6172.79
Zeros73
Zeros (%)< 0.1%
Negative157790
Negative (%)98.9%
Memory size2.4 MiB
2023-09-22T03:11:09.707958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-250
5-th percentile-249.775
Q1-248.625
median-244.55
Q3-230.92625
95-th percentile-159.375
Maximum6172.79
Range6422.79
Interquartile range (IQR)17.69875

Descriptive statistics

Standard deviation62.869229
Coefficient of variation (CV)-0.27569406
Kurtosis954.5372
Mean-228.03984
Median Absolute Deviation (MAD)5.025
Skewness17.990069
Sum-36370302
Variance3952.54
MonotonicityNot monotonic
2023-09-22T03:11:10.092610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-249.75 7608
 
4.8%
-249.505 3396
 
2.1%
-249.7775 2796
 
1.8%
-247.5025 2654
 
1.7%
-246.25 1806
 
1.1%
-247.5 1716
 
1.1%
-249.81 1698
 
1.1%
-249.6775 1645
 
1.0%
-249.5525 1462
 
0.9%
-249.7525 1295
 
0.8%
Other values (24310) 133415
83.7%
ValueCountFrequency (%)
-250 992
0.6%
-249.9975 430
0.3%
-249.995 47
 
< 0.1%
-249.99 5
 
< 0.1%
-249.9875 18
 
< 0.1%
-249.985 3
 
< 0.1%
-249.9825 6
 
< 0.1%
-249.98 6
 
< 0.1%
-249.9775 2
 
< 0.1%
-249.975 17
 
< 0.1%
ValueCountFrequency (%)
6172.79 1
< 0.1%
2977.7325 1
< 0.1%
2724.5225 1
< 0.1%
2697.46 1
< 0.1%
2299.86 1
< 0.1%
2250 1
< 0.1%
1947.565 1
< 0.1%
1840 1
< 0.1%
1795.675 1
< 0.1%
1678.1075 1
< 0.1%

Target
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.4 MiB
0
159215 
1
 
276

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters159491
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Length

2023-09-22T03:11:10.540685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-22T03:11:10.912634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159491
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 159491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 159215
99.8%
1 276
 
0.2%

Interactions

2023-09-22T03:10:46.779872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:05.429711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:12.309185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:18.339656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:24.994210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:31.190133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:38.095468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:43.545243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:51.651105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:58.199616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:05.293819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:11.095721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:17.798015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:23.569474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:30.738429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:36.357574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:42.882718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:48.696612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:56.152554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:02.009143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:08.731925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:14.274335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:20.916481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:26.474528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:34.353851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:40.036083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:47.003949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:05.630724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:12.523043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:18.535208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:25.212502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:31.423482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:38.321264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:43.758320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:51.858589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:58.524406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:05.511353image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:11.326028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:18.012773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:23.772437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:30.958211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:36.561639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:43.096652image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:48.896407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:56.368574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:02.225448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:08.940127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:14.483658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:21.129584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:26.699216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:34.567153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:40.244346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:47.230552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:05.964220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:12.745076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:18.757928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:25.450427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:31.661669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:38.537509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:44.390199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:52.076638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:58.894649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:05.759148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:11.653049image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:18.241263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:24.000684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:31.174447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:36.767798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:43.333045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:49.128083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:56.598596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:02.460130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:09.162531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:14.715413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:21.359260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:26.927754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:34.796228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:40.463429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:47.438771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:06.255959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:12.964277image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:19.035299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:25.661116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:31.869184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:38.730296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:44.592111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:52.273215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:59.129466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:05.966672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:11.959842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:18.458014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:24.189929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:31.378280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:36.958941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:43.545233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:49.327368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:56.833430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:02.657071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:09.363195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:14.910144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:21.559133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:27.135366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:35.007969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:40.660216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:47.658297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:06.612587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:13.192872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:19.341792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:25.908222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:32.190232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:38.947468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:44.815090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:52.495034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:59.488732image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:06.210627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:12.321969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:18.688009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:24.446964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:31.597829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:37.185241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:43.779363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:49.553096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:57.089185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:02.889949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:09.592440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:15.132127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:21.779444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:27.365820image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:35.238083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:40.887295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:47.884904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:06.981174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:13.422260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:19.690909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:26.143263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:32.524214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:39.167440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:45.114151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:52.731614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:08:32.857084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:09:32.025981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:09:57.545352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:10:10.010172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:08:07.617677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-09-22T03:09:22.645732image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:29.881214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:35.511047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:42.019513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:47.788020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:54.538600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:01.096848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:07.823059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:13.412409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:20.087876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:25.620081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:33.440084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:39.151926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:45.895913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:51.726927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:11.670367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:17.683496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:24.352567image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:30.513741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:37.424162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:42.899223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:50.996601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:57.227734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:04.166585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:10.428154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:17.145692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:22.872142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:30.099433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:35.727090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:42.245049image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:48.010799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:55.503681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:01.334623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:08.060590image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:13.631200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:20.306513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:25.838635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:33.667367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:39.379930image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:46.130469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:51.940576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:11.886146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:17.895812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:24.552991image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:30.737696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:37.656239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:43.106031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:51.224473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:57.452304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:04.383964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:10.648812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:17.359471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:23.117780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:30.313612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:35.933403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:42.478219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:48.238057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:55.728630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:01.561564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:08.286621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:13.837006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:20.519061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:26.051543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:33.904175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:39.589693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:46.349022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:52.147096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:12.095481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:18.111077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:24.762447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:30.951876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:37.869465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:43.312547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:51.434206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:08:57.721792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:05.082076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:10.865496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:17.585302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:23.332776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:30.517965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:36.142192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:42.675470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:48.476326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:09:55.928929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:01.772054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:08.515609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:14.044484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:20.713768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:26.262228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:34.125937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:39.798325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-22T03:10:46.568150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-09-22T03:11:11.200038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
idPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTTarget
id1.0000.191-0.006-0.471-0.1430.227-0.1140.116-0.1030.016-0.227-0.044-0.2060.0020.0900.021-0.1190.0930.1310.151-0.014-0.2610.002-0.032-0.139-0.0390.021
Per10.1911.000-0.386-0.4120.102-0.103-0.086-0.226-0.2400.1400.0120.0520.0300.039-0.0450.031-0.210-0.064-0.0300.1460.0010.0500.008-0.106-0.211-0.0860.164
Per2-0.006-0.3861.0000.0720.1550.340-0.1100.4240.008-0.081-0.0120.0260.0360.0680.0130.0000.040-0.098-0.055-0.0920.013-0.0870.0330.1310.140-0.5000.208
Per3-0.471-0.4120.0721.0000.060-0.2260.171-0.0750.165-0.0280.0540.0050.053-0.045-0.043-0.0140.107-0.0380.006-0.141-0.0030.034-0.0180.1410.1780.0000.381
Per4-0.1430.1020.1550.0601.0000.0200.0750.060-0.0110.104-0.012-0.0260.053-0.0410.022-0.014-0.0100.041-0.0040.011-0.0100.057-0.062-0.0350.001-0.0240.375
Per50.227-0.1030.340-0.2260.0201.000-0.0040.429-0.054-0.0580.0140.020-0.040-0.008-0.0150.0130.058-0.041-0.011-0.107-0.024-0.0190.0280.016-0.026-0.3130.202
Per6-0.114-0.086-0.1100.1710.075-0.0041.000-0.2930.4450.0260.059-0.004-0.045-0.0200.0500.0320.0520.0330.040-0.050-0.139-0.010-0.0230.0760.0230.2040.115
Per70.116-0.2260.424-0.0750.0600.429-0.2931.000-0.388-0.0990.007-0.018-0.050-0.122-0.066-0.0020.164-0.022-0.023-0.186-0.013-0.0450.017-0.0940.056-0.0280.315
Per8-0.103-0.2400.0080.165-0.011-0.0540.445-0.3881.000-0.0040.051-0.144-0.0150.0870.065-0.0320.0040.0750.0200.075-0.026-0.077-0.0070.1910.0900.0030.206
Per90.0160.140-0.081-0.0280.104-0.0580.026-0.099-0.0041.000-0.031-0.048-0.005-0.032-0.0140.003-0.016-0.070-0.0020.074-0.001-0.0200.024-0.001-0.105-0.0770.479
Dem1-0.2270.012-0.0120.054-0.0120.0140.0590.0070.051-0.0311.000-0.032-0.0350.0670.0680.0080.043-0.000-0.0000.029-0.005-0.003-0.005-0.028-0.028-0.0460.613
Dem2-0.0440.0520.0260.005-0.0260.020-0.004-0.018-0.144-0.048-0.0321.0000.0120.001-0.009-0.0040.095-0.0500.0050.0010.0030.006-0.0040.002-0.010-0.0070.009
Dem3-0.2060.0300.0360.0530.053-0.040-0.045-0.050-0.015-0.005-0.0350.0121.0000.0140.014-0.0560.0930.0320.0020.0310.0230.011-0.0180.0290.036-0.0720.007
Dem40.0020.0390.068-0.045-0.041-0.008-0.020-0.1220.087-0.0320.0670.0010.0141.0000.0260.0150.1750.092-0.0460.043-0.030-0.0140.041-0.046-0.009-0.1070.604
Dem50.090-0.0450.013-0.0430.022-0.0150.050-0.0660.065-0.0140.068-0.0090.0140.0261.000-0.001-0.1060.0260.057-0.107-0.049-0.009-0.0260.0190.0190.0470.503
Dem60.0210.0310.000-0.014-0.0140.0130.032-0.002-0.0320.0030.008-0.004-0.0560.015-0.0011.0000.234-0.008-0.014-0.083-0.0530.006-0.015-0.020-0.041-0.0090.084
Dem7-0.119-0.2100.0400.107-0.0100.0580.0520.1640.004-0.0160.0430.0950.0930.175-0.1060.2341.0000.1110.037-0.1940.0420.0460.0470.1030.2750.2010.018
Dem80.093-0.064-0.098-0.0380.041-0.0410.033-0.0220.075-0.070-0.000-0.0500.0320.0920.026-0.0080.1111.0000.675-0.2510.0320.039-0.041-0.0240.0690.1950.064
Dem90.131-0.030-0.0550.006-0.004-0.0110.040-0.0230.020-0.002-0.0000.0050.002-0.0460.057-0.0140.0370.6751.000-0.2390.0130.029-0.0410.074-0.0350.0790.059
Cred10.1510.146-0.092-0.1410.011-0.107-0.050-0.1860.0750.0740.0290.0010.0310.043-0.107-0.083-0.194-0.251-0.2391.0000.098-0.427-0.0000.048-0.069-0.0580.021
Cred2-0.0140.0010.013-0.003-0.010-0.024-0.139-0.013-0.026-0.001-0.0050.0030.023-0.030-0.049-0.0530.0420.0320.0130.0981.0000.0010.008-0.0400.045-0.0130.008
Cred3-0.2610.050-0.0870.0340.057-0.019-0.010-0.045-0.077-0.020-0.0030.0060.011-0.014-0.0090.0060.0460.0390.029-0.4270.0011.000-0.053-0.093-0.0510.0230.030
Cred40.0020.0080.033-0.018-0.0620.028-0.0230.017-0.0070.024-0.005-0.004-0.0180.041-0.026-0.0150.047-0.041-0.041-0.0000.008-0.0531.000-0.164-0.021-0.0650.000
Cred5-0.032-0.1060.1310.141-0.0350.0160.076-0.0940.191-0.001-0.0280.0020.029-0.0460.019-0.0200.103-0.0240.0740.048-0.040-0.093-0.1641.0000.461-0.1270.051
Cred6-0.139-0.2110.1400.1780.001-0.0260.0230.0560.090-0.105-0.028-0.0100.036-0.0090.019-0.0410.2750.069-0.035-0.0690.045-0.051-0.0210.4611.0000.0110.065
Normalised_FNT-0.039-0.086-0.5000.000-0.024-0.3130.204-0.0280.003-0.077-0.046-0.007-0.072-0.1070.047-0.0090.2010.1950.079-0.058-0.0130.023-0.065-0.1270.0111.0000.000
Target0.0210.1640.2080.3810.3750.2020.1150.3150.2060.4790.6130.0090.0070.6040.5030.0840.0180.0640.0590.0210.0080.0300.0000.0510.0650.0001.000

Missing values

2023-09-22T03:10:52.538928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-22T03:10:53.407951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idGroupPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTTarget
4713064508Grp660.110000-0.9166670.7266671.580000-0.1933331.0300000.9966670.6566671.0100000.8900000.990000-0.1100000.5366670.7200000.7000001.5866670.9166670.4866670.2366670.8900000.6700000.4933330.6133330.760000103.68500
114257236466Grp100.3800000.8700000.7333330.3466670.9566671.1200000.8166670.9533330.6300000.6733330.7600000.7633330.070000-0.1733330.1900000.5900000.7200000.8433330.7500000.6066670.4533330.6366670.6900000.700000-235.00000
9748721034Grp461.0166670.5700000.8966670.9466670.3700000.5133330.5866670.7033330.8300000.9866670.0900000.4433330.6766670.6366670.8100000.6333330.5933330.4333330.6866670.8366670.7333330.7166670.6533330.673333-233.75250
37519173406Grp710.6866670.7466671.1966670.7500000.5000000.5266670.7066670.5933330.9766670.5000000.8200000.9866670.5566670.7533330.7933330.6666670.7533331.0366670.7400000.8033330.0733330.4900000.6966670.700000-242.44000
63159281031Grp1430.5833330.9333331.1600000.7500000.7000000.5700000.8100000.6900000.7033330.2500000.5366670.8066670.8000000.8333330.3666670.5933330.7733331.0066670.5966670.6300000.5166670.4566670.7466670.733333-249.75000
7223225665Grp101.0700000.6566670.7833330.6466670.5533330.5700000.5966670.6800000.6400001.2233330.7666670.8533330.7100000.5633330.6200000.6400000.7133330.8266670.6466670.7033330.7700001.0433330.6433330.663333-249.45750
33635231052Grp961.3266670.5533330.5666670.8200000.4200000.4233330.5066670.6466671.1200000.3500000.5366670.9033330.7433330.6300000.6500000.5833330.6033330.5266670.7900000.6400000.5200000.4600000.6766670.656667-247.50000
64969186090Grp71.2866670.4700000.5933330.8233330.3733330.5533330.4366670.6933331.0866670.9066670.5633330.6033330.7500000.9233330.6600000.6100000.7733331.0233330.6866670.7033330.6300000.6066670.6766670.653333-239.48750
203318241313Grp2020.7433331.066667-0.0966670.3366671.1700000.1933331.1966670.5900000.4300000.2200001.0566670.3433330.3833330.5266670.6600000.5766670.8533331.2466670.6466670.8666670.3300000.6900000.7200000.753333-246.46500
12695454868Grp240.9466670.5000001.0233331.0500000.4433331.0000000.4300000.8266670.8533331.1300000.5333330.8266670.6266670.6233330.3666670.6666670.7633330.9333330.6233330.5766670.7600000.5900000.6933330.680000-222.79250
idGroupPer1Per2Per3Per4Per5Per6Per7Per8Per9Dem1Dem2Dem3Dem4Dem5Dem6Dem7Dem8Dem9Cred1Cred2Cred3Cred4Cred5Cred6Normalised_FNTTarget
5464115745Grp390-1.2633332.186667-0.090000-0.1833331.2066671.6900000.8166670.8966672.1433330.8666670.6333331.1733330.6066670.5433330.5766671.7433330.2466670.2466670.7100000.9633331.0233330.6766671.1333330.756667-247.31750
140298200249Grp410.4500000.9966670.4533330.3600000.9200000.3600000.9200000.7866670.5133330.8500000.3866670.5366670.9600001.1000000.3966670.5900000.7766670.9033330.5566670.4766670.8066670.6033330.6300000.646667-240.38750
63025224505Grp90.6000000.7766670.1133330.6200000.6466670.5800001.0666670.7733330.5733330.7433330.3000000.7333330.8900001.2000000.7300000.7433330.8233330.9433330.7966670.3566670.6133330.6266670.6133330.650000-187.35000
124740145136Grp1461.2900000.4800000.5866670.8500000.3900000.4800000.5000000.6166671.0300000.4066671.1133330.7400000.7500000.6366670.5566670.6700000.7566670.9766670.6866670.7166670.5966670.8700000.6600000.656667-232.50250
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